We live in a world of Information overload!

Google throws 1,270,000,000 billion in 0.39 seconds, when I search it for “Learn R”! This still does not reveal the entire picture – it probably hasn’t searched through all the YouTube videos, the GitHub repos, the presentations on SlideShare, numerous blogs and discussions happening on the topic!

We come across people daily who are following too many things and chasing too many directions in their attempt to learn data science. It is hard to blame them, when there is so much content to absorb. These people start doing a MOOC – 2 videos down the line, they switch on to a blog, then a notebook and end up reaching nowhere.

That is why we created learning paths. Learning paths are meant to provide crystal clear direction for end to end journey on various tools and techniques. So, if you want to learn a topic, all you have to do is to follow a learning path.

Not only this, if you have already started your learning, you can pick them up from your next step or see which steps have you missed in past. We think that learning paths would be immensely helpful to our audience. They will act like light houses for people doing their knowledge journeys on data science.

Thank you very much for creating learning paths. 1 month back I didn’t know anything about Python. I followed the steps mentioned in one of your article -Python for Data Science – and, now I find it easy to write programs in Python to do tasks. Because of your article I saved a lot of time from not running into many places.

I need your help on one more thing. I want to learn text analytics from end to end and want to implement it in Python. My data resides in different places – Teradata, Excel, Twitter, Company website, etc.. I want to learn how to bring data into Python, clean it, analyse it and present the findings. Please provide your guidance on the same.

I want to do a masters in analytics, but am seriously lost between Business Analytics or Data Science. The latter is usually under the department of computer science or Mathematics and the first is under the school of business. I come from a business background and don’t really have any programming skills. I find this decision really hard to make and found this great blog and hope I can get a good answer here. Thanks